Hackers are exploiting a critical vulnerability in Marimo reactive Python notebook to deploy a new variant of NKAbuse malware ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Abstract: Data centers (DCs) are critical for artificial intelligence (AI) and the digital economy, with AIDCs introducing new operational challenges. This research proposes a novel Physical AI (PhyAI ...

Track delivery vehicles across cities in real-time. Monitor route adherence, delivery times, and fuel consumption. Get alerts when vehicles deviate from geofenced zones or when drivers speed. Manage a ...

Abstract: In this paper, we introduce the Python to Kubernetes (PTK) framework, a high-level Python-based programming framework for deploying Python applications on top of Kubernetes clusters. PTK ...

MAIPO RIVER BASIN, Chile — Under a blazing sun in this drought-stricken Andean valley, a Chilean agronomist and a farm worker examined moist soil from a freshly dug pit among rows of almond trees. The ...

Portfolio management analytics gives advisors real visibility into portfolio performance, risk, and costs. Instead of piecing together data from multiple systems, you get a single dashboard that shows ...

The Rise of Logical Data Management by Christopher Gardner is a thoroughly researched and timely guide for understanding how organizations can rethink their data architecture at a moment when AI, ...

As electronic design becomes increasingly complex, traditional approaches to IP and design data management are reaching their limits. Fragmented systems, inconsistent documentation, and unclear ...

Explore the latest research published through Frontiers FAIR² Data Management: reusable, AI-ready, and citable datasets designed to accelerate discovery and maximize impact across disciplines.